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Kota Hara
Kota Hara
Borzoi AI
Verifisert e-postadresse på borzoi.ai - Startside
Tittel
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Sitert av
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Growing Regression Forests by Classification: Applications to Object Pose Estimation
K Hara, R Chellappa
The European Conference on Computer Vision (ECCV), 2014
982014
Designing deep convolutional neural networks for continuous object orientation estimation
K Hara, R Vemulapalli, R Chellappa
arXiv preprint arXiv:1702.01499, 2017
962017
Fashion apparel detection: The role of deep convolutional neural network and pose-dependent priors
K Hara, V Jagadeesh, R Piramuthu
IEEE Winter Conference on Applications of Computer Vision (WACV), 2016
712016
Joint-based item recognition
K Hara, V Jagadeesh, R Piramuthu
US Patent 11,120,478, 2021
682021
Attentional network for visual object detection
K Hara, MY Liu, O Tuzel, A Farahmand
arXiv preprint arXiv:1702.01478, 2017
422017
Computationally efficient regression on a dependency graph for human pose estimation
K Hara, R Chellappa
Proceedings of the IEEE conference on computer vision and pattern …, 2013
372013
Growing regression tree forests by classification for continuous object pose estimation
K Hara, R Chellappa
International Journal of Computer Vision 122, 292-312, 2017
322017
Object detection system and object detection method
MY Liu, O Tuzel, A massoud Farahmand, K Hara
US Patent 10,210,418, 2019
232019
Real-time inference of 3d human poses by assembling local patches
K Hara
2009 Workshop on Applications of Computer Vision (WACV), 1-8, 2009
92009
Human pose estimation using patch-based candidate generation and model-based verification
K Hara, T Kurokawa
2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011
82011
Joint-based item recognition
K Hara, V Jagadeesh, R Piramuthu
US Patent App. 17/473,280, 2021
2021
Deep neural networks and regression models for object detection and pose estimation
K Hara
University of Maryland, College Park, 2016
2016
REGRESSION-BASED OBJECT SHAPE ESTIMATION USING A SHAPE-MANIFOLD
K Hara, T Kurokawa
IEEE International Conference on Image Processing, 2011
2011
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Artikler 1–13